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Industry analysis reveals that corrosion damage during construction poses a significant, often overlooked risk to massive AI data centre capital investments.

Highlights the need for updated preservation protocols in turnkey contracts to protect multi-billion-dollar assets before equipment installation and energization.
Trade pressSlicast · September 3, 2026 at 21:49 UTC · Global · Source: Data Center Knowledge
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The massive capital investments driving AI data center expansion face a hidden threat: corrosion. This degradation often begins during construction rather than operations, yet asset preservation is rarely integrated into project governance or early planning.

The global push to build artificial intelligence infrastructure marks one of the largest capital investment cycles in modern history. As demand for advanced computing capacity accelerates, technology companies are deploying unprecedented capital toward new data centers. Each hyperscale campus entails massive investments in computing hardware, electrical infrastructure, cooling systems, and supporting utilities.

Despite this scale, a critical factor in long-term asset reliability—corrosion—often receives minimal attention during project planning. Industry focus has understandably centered on power availability, liquid cooling, rack density, and deployment speed. While these are critical challenges, they have inadvertently diverted attention from another factor that directly impacts long-term reliability. Because corrosion rarely causes immediate issues during construction, it is easily overlooked until equipment is commissioned or brought online.

Corrosion is still widely treated as a post-commissioning maintenance issue. In reality, it frequently begins months before a facility becomes operational, starting as equipment moves through manufacturing, transportation, storage, and construction. For facilities designed to run continuously and support billions of dollars in computing infrastructure, preservation decisions made during these early phases carry lasting consequences for reliability and asset lifespan.

Industry studies estimate that corrosion costs approximately 3.4% of global GDP annually, much of it preventable through established management and preservation practices. Historically, data centers faced relatively limited corrosion exposure, but the rapid adoption of liquid cooling is fundamentally altering that landscape.

High-density AI infrastructure relies on extensive liquid-cooled equipment, cooling distribution networks, heat exchangers, pumps, valves, and piping systems that integrate multiple metals and increasingly complex water chemistries. Consequently, corrosion can degrade cooling efficiency, delay commissioning, shorten equipment lifespans, and compromise the reliability of mission-critical computing infrastructure.

Large-scale construction projects typically feature robust governance frameworks for quality assurance, commissioning, safety, and risk management. Preservation, however, is frequently absent from these structures. As equipment progresses through manufacturing, transportation, storage, installation, and commissioning, accountability shifts among manufacturers, logistics providers, contractors, and owners.

When project schedules shift and equipment sits idle longer than planned, preservation activities often become inconsistent or are skipped entirely. Without clearly defined accountability across manufacturers, logistics providers, contractors, and owners, corrosion can initiate long before it becomes visible. By the time damage is detected, the window for prevention has usually closed.

In contrast, industries such as oil and gas, petrochemicals, power generation, marine, and heavy manufacturing routinely mandate preservation requirements prior to equipment procurement. These activities are documented throughout construction, verified during commissioning, and embedded into project quality programs, recognizing that preserving equipment condition is essential to protecting capital investments.

AI infrastructure is now approaching comparable levels of complexity and capital intensity, making these established preservation practices increasingly relevant.

The most effective preservation strategy begins long before ground is broken. During the planning phase, engineers can evaluate material compatibility, assess galvanic corrosion risks, specify coolant chemistry, minimize stagnant flow zones, and establish preservation protocols for equipment destined for extended storage.

Early integration also enables preservation requirements to be embedded directly into procurement documents and construction specifications. Documenting these expectations from the outset ensures contractors, suppliers, and commissioning teams adhere to a unified standard, rather than making ad hoc decisions as project timelines shift.

Organizations can develop internal preservation standards, embed requirements into engineering specifications, or engage independent specialists to establish procedures and verify asset conditions throughout construction. Regardless of the chosen approach, clearly defined responsibilities and documented inspection milestones enhance consistency and mitigate project risk.

Preservation must span manufacturing, transportation, storage, commissioning, and ongoing operations. Equipment frequently spends months transitioning between suppliers, ports, laydown yards, warehouses, and partially constructed sites, creating repeated windows for corrosion. Whether safeguarding cooling systems, electrical infrastructure, compute hardware, or spare assets, the objective remains consistent: preserving equipment integrity until reliable operation commences.

As AI data centers scale in power density and capital expenditure, preservation must be elevated from a routine maintenance task to a core component of holistic asset management.

The critical question is no longer whether corrosion will occur, but whether preservation was addressed early enough to prevent it. Organizations that integrate preservation planning into design, procurement, construction, and commissioning will be best positioned to safeguard capital investments and sustain the long-term reliability demanded by modern AI infrastructure.

Gautam Ramdas is Vice President of Global Market Development for ZERUST Integrity Solutions®, a division of Northern Technologies International Corporation (NASDAQ: NTIC), with more than 25 years of experience in corrosion management, asset preservation, and critical infrastructure reliability.

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Industry analysis reveals that corrosion… · Slicast